The data was collected in the catchment of Lake Cyohoha North to analyze socio-economic impact that the change in Land use/cover and lake degradation have had on smallholder farmers living within this catchment.

The data were collected in Musanze district, Rwanda. The purpose of the study is to assess the impact of energy efficiency policies on future energy demand in secondary cities. That was processed by spss. The results showed that four energy sources predominate: electricity, charcoal, firewood and LPG. However, there were urban households with greater diversity of energy sources in urban households, also including electricity (97.89%), candles (44.21%) and liquefied petroleum gas, or LPG (37.89%). Charcoal use is much higher at 82.11%, whereas firewood use is only 29.49%. In order to minimize energy loss in urban households, this research suggests that similar studies in the future may focus more on obtaining previous data, if possible, the study could be conducted over years to use own primary data, or else obtaining as many years’ data as possible to forecast the future energy consumption accurately.

A study was carried out in the Gado-Badzere Refugee camp, East region of Cameroon. This project gathered information via a structured questionnaire. this entailed the demographics of refugees, the quality and hygiene of water, the sanitation systems installed in the Camp and the hygiene practices of refugees. This was accompanied with key interviews, field observation, focussed group discussion and secondary data. Both descriptive and inferential statistics was used to analyze the data and the findings were compared to international standards.

The dataset comprises both primary and secondary data collected in the Wa Municipality of Ghana between April and June 2019. It comprises interview data from thirteen institutions involved in sustainable energy issues in the Municipality, two Focus Group Discussions in local communities that benefited from sustainable energy projects and eight policy and planning documents related to energy policy and decentralised planning at the local level in Ghana. Specifically, the data is centred on actor involvement in sustainable energy initiatives at the local government level, the institutional capacity of local government units responsible for planning and, how planning guidelines and national policy frameworks affect local government involvement in sustainable planning and implementation. Data were analysed using ATLAS.ti and the NetDRAW component of UNCINET 6 software. The files contained in this dataset are, thus, saved in ATLAS.ti (.atlproj) and UCINET (##h) file formats.

The data collection was done at the district of Ambatolampy, Madagascar, using questionnaire survey about the electrical load of the location for the purpose of the master dissertation in energy engineering.

These data was collected in the region of south western MAU forest in Riftvalley, Kenya. The aim of the study was to access the status of energy access both for cooking and lighting by the communities living around the forest. Also, social and economic status of the households was captured. The data collection tool was a structured questionnaire which was loaded to an ODK android phone application app. The data was collected between the June 2019 and July 2019 and 215 households were interviewed.

A data collection plan containing all the information collected during field survey

The data were collected in Rwanda using the mixed research methodology, the questionnaire were designed in a way to allow us to collect the qualitative and quantitative data. Different stakeholders who are directly related to solar energy were considered such as Regulators, Policy makers, Utility, Non government organisation, private solar company and end-users. The end-user interviewed are located in Kamonyi district, Runda sector, Kanogo cell the total number of solar home system were 30 people in the cell and we decided to to talk to all of them.

Temperature (Maximum and Minimum) were used to assess the voltage drop of solar panels and inverters. These information were uploaded to design product centers to come up with the system size which takes into consideration all factors.